THE EVIDENTIAL REASONING APPROACH FOR RISK MANAGEMENT IN LARGE ENTERPRISES

Author(s):  
DAWEI TANG ◽  
JIAN-BO YANG ◽  
DAVID BAMFORD ◽  
DONG-LING XU ◽  
MARGARET WAUGH ◽  
...  

Enterprise Risk Management (ERM) is a framework that is used by large organizations to manage risk as a whole. The key difference between ERM and traditional risk management is that in the latter risks are managed individually, whilst the former requires the aggregation of risks to facilitate risk management. However, current methods for risk aggregation have various limitations when applied under the context of ERM, such as the requirement for accurate and complete information about risk factors, the inability to handle different kinds of uncertainty which are inevitable during the risk aggregation process, and so on. Due to its unique advantages in accommodating different forms of both complete and incomplete information and handling different kinds of uncertainty, the Evidential Reasoning (ER) approach together with its implementation entitled Intelligent Decision System (IDS) is introduced in this paper for risk aggregation in ERM to overcome the limitations and to provide a comprehensive analysis for risk management based on the aggregation result. To demonstrate the applicability of the ER approach and IDS in ERM, a case study is analyzed in detail regarding risk aggregation and risk management for a health care organization in North England.

2012 ◽  
Vol 1 (4) ◽  
pp. 1-17
Author(s):  
Drew Sugaretty

This paper categorizes the risks experienced and voiced by subject matter experts at a pandemic crises event which unfortunately claimed almost 800 lives before it could be controlled. The project was a case study design using multiple methods. Qualitative data was collected by interviewing 22 front-line multicultural crisis practitioners. The unit of analysis was the constructed meaning of the uncertainty and risk management processes experienced by the participants, while they were attempting to control the global pandemic crisis associated with the Severe Acute Respiratory Syndrome outbreak during 2003. Several guiding constructs were researched from the literature review. NVIVO was used to analyze the interview transcripts to build a thematic model of constructed meanings. The result was a best-practice model constructed by the practitioners which they felt improved risk control during a significant global pandemic crisis event considering the lead mitigation agency was a nonprofit health care organization.


2016 ◽  
Vol 5 (2) ◽  
pp. 80
Author(s):  
Linda L Vila ◽  
Vito Buccellato

Background: Today’s health care landscape requires a new standard of service delivery aimed at quality outcomes, cost-effective provisions of coordinated treatment, and access to equitable care. This standard has brought emerging risks that pose threats to the operational and financial well-being of health care organizations, especially safety net hospitals. The establishment of enterprise risk management (ERM) programs guided by the efforts of efficacious health care managers will promote deeper risk analysis, engagement of the entire health care organization, and structured, coordinated and cohesive mitigation responses to risk exposures.Objective: To establish and implement an ERM program using the Administrator on Duty (AOD) model that will promote a patient-centric paradigm of care while optimizing organizational performance and mitigating risk and exposure.Results: The AOD model significantly contributes to all phases of ERM, particularly risk identification, risk assessment, risk response and monitoring. The model, as perceived by both AODs and hospital senior leadership, provides tremendous benefits to a health care organization. These include, among many others, a substantial leadership presence, dynamic risk mitigation efforts, continuous education to staff and facilitation of problem solving and conflict resolution.Conclusions: The AOD program is a vital constituent of an ERM endeavor. AODs are pivotal to managing the global risk terrain of a health care organization and play a substantial role in promoting patient, staff and visitor safety while working to ensure potential and actual risk issues are addressed timely and appropriately.


2013 ◽  
pp. 1253-1270
Author(s):  
Drew Sugaretty

This article categorizes the risks experienced and voiced by subject matter experts at a pandemic crises event which unfortunately claimed almost 800 lives before it could be controlled. The project was a case study design using multiple methods. Qualitative data was collected by interviewing 22 front-line multicultural crisis practitioners. The unit of analysis was the constructed meaning of the uncertainty and risk management processes experienced by the participants, while they were attempting to control the global pandemic crisis associated with the Severe Acute Respiratory Syndrome outbreak during 2003. Several guiding constructs were researched from the literature review. NVIVO was used to analyze the interview transcripts to build a thematic model of constructed meanings. The result was a best-practice model constructed by the practitioners which they felt improved risk control during a significant global pandemic crisis event considering the lead mitigation agency was a nonprofit health care organization.


2017 ◽  
Vol 20 (1) ◽  
pp. 99-131 ◽  
Author(s):  
Aaron Bruhn ◽  
Bronwen Whiting ◽  
Bridget Browne ◽  
Timothy Higgins ◽  
Chong It Tan

2020 ◽  
Vol 8 ◽  
Author(s):  
Katrin Skagert ◽  
Lotta Dellve

Background: According to policy and theory, there is need for organizational workplace health promotion (WHP) to strengthen working conditions for all employees. However, earlier studies show it is hard to implement in practice. The aim was to critically analyze and identify interacting mechanisms and obstacles behind failures of organizational WHP projects from system perspectives.Methods: A holistic case study was performed, to critically analyze data from an organizational WHP project approach at a public health care organization. The qualitative data was collected over 5 years and included interviews with key actors (n = 80), focus groups (n = 59 managers), structured observations (n = 250 hours), continuous field observations and documents (n = 180). Questionnaires to employees (n = 2,974) and managers (n = 140) was complementing the qualitative-driven mixed method approach.Results: The analysis shows obstructing paradoxes of alignment and distribution of empowerment during the process of implementation into practice. The obstacles were interacting over system levels and were identified as: Governance by logics of distancing and detaching, No binding regulation of WHP, Separated responsibility of results, Narrow focus on delegated responsibilities, Store-fronting a strategic model, Keeping poor organizational preconditions and support for developments and Isolate WHP from other organizational developments.Conclusions: The following premises can be formulated regarding successful organizational WHP programs. Consider (1) the uncertainty a distributed empowerment to all system levels may create; (2) the distributed impact to define the target and allow broader areas to be included in WHP; and (3) the integration into other development processes and not reducing the organizational WHP to the form of a project.


2019 ◽  
Vol 10 (2) ◽  
pp. 213
Author(s):  
Hafizah Zainol Abidin ◽  
Siti Zaleha Abdul Rasid ◽  
Haliyana Khalid ◽  
Rohaida Basiruddin ◽  
Shathees Baskaran

Enterprise risk management (ERM) is used to manage, integrate and aggregate all types of risks encountered by the concerned organisation. Despite having established framework and guidelines, the implementation of ERM at divisional level seemed to be lacking. There are gaps in the actual risk management practices that need to be studied and narrowed to ensure a more effective implementation of risk management. Therefore, the objective of this study is to identify characteristics of effective risk management practices and to gauge the effectiveness level at a telecommunication company. The gaps between the actual practices and the expected practices based on twenty-four (24) identified characteristics are identified and compared upon before recommendations are made to close the gaps and further enhance the risk management practices. For the purpose of this research the self-administered, web-based questionnaires were distributed to a total number of 130 engineers who were actively involved with network infrastructure planning, development and maintenance. The feedbacks received indicated that the respondents agreed with the identified characteristics of effective risk management practices and generally agreed that the effectiveness level of current risk management practices in the company is moderate or average. Furthermore, the gap analysis based on the variances indicates that there are rooms for further improvement. The study is important for more effective risk management practices in telecommunication companies. 


2019 ◽  
Vol 48 (3) ◽  
pp. 616-632 ◽  
Author(s):  
Edward Gamble ◽  
Andreas Thorsen ◽  
Laura Black

In this article, we demonstrate the method of participatory causal modeling to map the interdependencies of critical performance variables in a complex nonprofit health care provider with considerable financial and operational control challenges. Critical performance variables are output performance dimensions that are fundamental indicators of organizational success. Causal modeling provides an approach for nonprofit leaders to examine how critical performance variables dynamically and recursively affect each other and thereby offers a path to identify key points of leverage for organizational action. Using a case study, we show that participatory system dynamics modeling revealed assumptions, choices, and complexities and so helped a nonprofit health care organization recognize possible strategic opportunities. This study demonstrates an approach that other nonprofits may deploy in situations where they are experiencing competing objectives and constraints in managing critical performance variables.


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